Business Data Analysis — Claude Code Skill

Standardized business data analysis service skill for Claude Code. From raw data cleaning to PDF report delivery, with fully reproducible Python scripts.

Designed for the ¥2000 Standard Business Data Analysis service tier.

Features

• 7-Step Pipeline: Load → Clean → Calculate → Visualize → Insight → Report → Package
• 5+ Professional Charts: Trend, composition, comparison, distribution, heatmap — 300dpi, unified enterprise color palette
• Multi-Dimensional Analysis: Drill down across time, channel, user segments, region, and more
• Auto PDF Report: Structured 8-chapter report with embedded charts, confidentiality footer
• 4 Human Review Gates: Built-in checkpoints prevent auto-pilot mistakes
• Quality Self-Check: 7-point pre-delivery checklist
• Bilingual: Chinese + English communication templates

Installation

npm install -g business-data-analysis

Or install directly into Claude Code skills:

npx business-data-analysis

Manual install:

git clone https://github.com/js2005happy/business-data-analysis.git
cp -r business-data-analysis/SKILL.md ~/.claude/skills/business-data-analysis/

Usage

In Claude Code, provide raw data and request a business analysis report:

"这是我们的Q2销售数据(sales_q2.csv)，包含日期、渠道、产品线、金额、用户ID字段。帮我找出收入增长的关键驱动因素和流失风险点。核心指标：客单价=总金额/订单数，周活跃=7天内有购买。"

The skill activates automatically and guides through:

1. Data loading & quality brief
2. Data cleaning (with human confirmation at key gates)
3. KPI calculation & dimensional breakdown
4. Chart generation (5+ charts)
5. Insight extraction & recommendations
6. PDF report assembly
7. Final package delivery (.zip)

Deliverables

Every analysis produces:

分析报告_YYYYMMDD/
├── 原始数据/
├── clean_data.csv
├── results_summary.csv
├── 分析脚本.py
├── 分析报告.pdf
├── charts/
│   ├── chart1_趋势图.png
│   ├── chart2_构成图.png
│   └── ...
├── 数据清洗日志.md
└── 数据质量简报.md

Requirements

• Python 3.8+ (pandas, matplotlib, seaborn, fpdf/reportlab)
• Claude Code (for skill execution)
• Input: CSV/Excel data with field descriptions

License

MIT © 2026 js2005happy